Enterprise Imaging

Enterprise imaging brings together all imaging exams, patient data and reports from across a healthcare system into one location to aid efficiency and economy of scale for data storage. This enables immediate access to images and reports any clinical user of the electronic medical record (EMR) across a healthcare system, regardless of location. Enterprise imaging (EI) systems replace the former system of using a variety of disparate, siloed picture archiving and communication systems (PACS), radiology information systems (RIS), and a variety of separate, dedicated workstations and logins to view or post-process different imaging modalities. Often these siloed systems cannot interoperate and cannot easily be connected. Web-based EI systems are becoming the standard across most healthcare systems to incorporate not only radiology, but also cardiology (CVIS), pathology and dozens of other departments to centralize all patient data into one cloud-based data storage and data management system.

AI can accurately complete leg length and angular measurements

AI tool accurately completes leg length measurements up to 87% faster than human readers

Manual leg length measurements are time-consuming and can be challenging to reproduce.

Man vs. Machine artificial intelligence AI

Skepticism and optimism: Radiologists are still divided on AI integration

AI concerns among radiologists could delay its implementation. Experts say educational initiatives could help.

partnership business deal joint venture

Bayer and Rad AI expand access to AI and radiology workflow solutions with new collaboration

Integrating Rad AI’s applications with Bayer's Calantic Digital Solutions platform will enable more hospitals to implement AI into their physician practices.    

It's time to ditch the disc: 'Patients are ready' for online access to imaging

With more providers now integrating imaging into their diagnostic processes, there is greater need to improve the ease of access. 

breast cancer screening mammography

Changes in AI-based risk scores identify women at greatest risk of developing breast cancer

The more an individual’s score changes, the greater the odds are of them being diagnosed with cancer in the near future, new research presented at SIIM 2024 suggests.

physician acceptance of generative AI

Some communication platforms bring more disruptions than improvements to workflows

A new analysis suggests that physicians who utilize secure messaging platforms for workplace communications might also spend more time taking calls.

Peter Monteleone, MD, an interventional cardiologist, national director of cardiovascular research at Ascension Health, and assistant professor, UT Austin Dell School of Medicine, explained the use of artificial intelligence (AI) to independently identify an emergency stroke or pulmonary embolism (PE) finding on a CT scan and automatically alert critical care team members. His health system uses this type of AI for earlier activation of the pulmonary embolism response team (PERT).

AI critical care software revolutionizes emergency response

Ascension Health in Texas uses AI that can read CT scans for stroke and pulmonary embolism to activate care teams before the images even get into the PACS.

Cloud service icon with options and devices

Private equity-backed cardiology group puts cloud-based technology in hands of its cardiologists

Cardiovascular Associates of America, backed by Webster Equity Partners, currently includes practices in eight different states. Its partner cardiologists now have preferred access to multiple cloud-based services provided by Athenahealth.